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Learn About Statistical Analysis For Marketing Research

We've grouped together all the information our site contains on Statistical Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 53 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: Using discrete choice conjoint to validate stated-choice data
Offers ways to validate stated-choice data and compares the pros and cons of standalone questions types.
Data Use: Computers know 'how' but they don't know 'what'
This article points to several potential pitfalls of taking statistical software results at face value.
Data Use: How to think about your tables
This article explores different ways of viewing data analysis in tabular form to better understand and show the pattern of association in two-way tables. The author derives percentages, the percentage difference, odds, odds ratios and the log-odds ratios in the two examples shown.
Data Use: Bayes nets: Understanding the best newest thing - Part II
In the second part of a two-part series on Bayes nets, Steven Struhl explores their capabilities and outlines what to look for in a Bayes software program.
Data Use: Spurious enhancement of statistical significance
Researchers must take care to conduct analyses with multiple criteria appropriately when incorporating statistics in a decision-making process.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Mobile sample size: How much is enough?
Analysis of mobile consumer research uncovers what using a smaller sample size means to a study's statistical significance.
Satisfying stats: How numbers helped a diner optimize its menu
This article addresses the changing role of statistics in marketing research and uses menu optimization for the fictional Johnny's American Diner to demonstrate how numbers can tell an engaging and actionable story.
Analyzing a pharmaceutical product’s key drivers
The author explores the use of principal component analysis to examine wave-to-wave changes in a tracking study.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.
Modeling the drivers of Net Promoter Score
How driver analysis can help you determine which controllable factors have an effect on NPS and how much of an impact they have.

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